SOTAVerified

Video Classification

Video Classification is the task of producing a label that is relevant to the video given its frames. A good video level classifier is one that not only provides accurate frame labels, but also best describes the entire video given the features and the annotations of the various frames in the video. For example, a video might contain a tree in some frame, but the label that is central to the video might be something else (e.g., “hiking”). The granularity of the labels that are needed to describe the frames and the video depends on the task. Typical tasks include assigning one or more global labels to the video, and assigning one or more labels for each frame inside the video.

Source: Efficient Large Scale Video Classification

Papers

Showing 276–300 of 455 papers

TitleStatusHype
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification—0
A Unified Method for First and Third Person Action Recognition—0
Automatic Concept Extraction for Concept Bottleneck-based Video Classification—0
AVD: Adversarial Video Distillation—0
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder—0
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation—0
Benchmarking Edge AI Platforms for High-Performance ML Inference—0
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification—0
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories—0
Beyond Transfer Learning: Co-finetuning for Action Localisation—0
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers—0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models—0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation—0
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization—0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos—0
Classifying Video based on Automatic Content Detection Overview—0
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos—0
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets—0
Compound Memory Networks for Few-shot Video Classification—0
Context-Aware Detection of Mixed Critical Events using Video Classification—0
Learning Video Representations using Contrastive Bidirectional Transformer—0
Convolutional Drift Networks for Video Classification—0
Co-training Transformer with Videos and Images Improves Action Recognition—0
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)95.2—Unverified
2MA-LMMAccuracy (%)93—Unverified
3S5Accuracy (%)90.7—Unverified
4TranS4merAccuracy (%)90.27—Unverified
5D-Sprv.Accuracy (%)89.9—Unverified
6ViS4merAccuracy (%)88.2—Unverified
7GHRMAccuracy (%)75.5—Unverified
8TimeceptionAccuracy (%)71.3—Unverified
9VideoGraphAccuracy (%)69.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)93.5—Unverified
2MA-LMMAccuracy (%)93.2—Unverified
3S5Accuracy (%)90.8—Unverified
4D-Sprv.Accuracy (%)90—Unverified
5TranS4merAccuracy (%)89.3—Unverified
6ViS4merAccuracy (%)88.4—Unverified
7TSNAccuracy (%)73.4—Unverified
#ModelMetricClaimedVerifiedStatus
1VTNAccuracy77.85—Unverified
2I3DAccuracy72.11—Unverified
3ConvLSTMAccuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1DCGN (self-attention graph pooling)Hit@187.7—Unverified
2Hierarchical LSTM with MoEHit@186.8—Unverified
3Mixture-of-2-ExpertsHit@170.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy99.5—Unverified
2CNN+LSTM1:1 Accuracy98—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridmAP38.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Cooperative Ours (3rd-person)Accuracy (%)24.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridTop-177.6—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAccuracy (%)73.95—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy84—Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy91—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Label Prototypes Contrastive LearningAUPR88.4—Unverified